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Active Deep Q-learning with Demonstration.

S. Chen, V. Tangkaratt, H. Lin, and M. Sugiyama. CoRR, (2018)

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Alfred Beck Voot

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TD-regularized actor-critic methods.S. Parisi, V. Tangkaratt, J. Peters, and M. Khan. Mach. Learn., 108 (8-9): 1467-1501 (2019)Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization.V. Tangkaratt, N. Xie, and M. Sugiyama. CoRR, (2014)Active deep Q-learning with demonstration.S. Chen, V. Tangkaratt, H. Lin, and M. Sugiyama. Mach. Learn., 109 (9-10): 1699-1725 (2020)Efficient Reuse of Previous Experiences to Improve Policies in Real Environment.N. Sugimoto, V. Tangkaratt, T. Wensveen, T. Zhao, M. Sugiyama, and J. Morimoto. CoRR, (2014)Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.H. Sasaki, V. Tangkaratt, G. Niu, and M. Sugiyama. Neural Comput., (2018)Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation.S. Mori, V. Tangkaratt, T. Zhao, J. Morimoto, and M. Sugiyama. CoRR, (2013)Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information.T. Osa, V. Tangkaratt, and M. Sugiyama. Neural Networks, (2022)Simultaneous Planning for Item Picking and Placing by Deep Reinforcement Learning.T. Tanaka, T. Kaneko, M. Sekine, V. Tangkaratt, and M. Sugiyama. IROS, page 9705-9711. IEEE, (2020)Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization.V. Tangkaratt, N. Xie, and M. Sugiyama. Neural Comput., 27 (1): 228-254 (2015)Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.N. Sugimoto, V. Tangkaratt, T. Wensveen, T. Zhao, M. Sugiyama, and J. Morimoto. IEEE Robotics Autom. Mag., 23 (1): 96-105 (2016)

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Active Deep Q-learning with Demonstration.

Please choose a person to relate this publication to

Alfred Beck Voot

Other publications of authors with the same name

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Disambiguation of "Tangkaratt, Voot"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Active Deep Q-learning with Demonstration.

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Alfred Beck Voot

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Active Deep Q-learning with Demonstration.